Data Science Internship Opportunity for University Graduates -->

Data Science Internship Opportunity for University Graduates


Responsibilities

• Develop highly scalable classifiers, data regression, recommendations and predictive models
• Analyze petabytes of data and mine patterns from logs
• Bring data to life using rich visualizations
• Create language models, speech models, vision models, etc.
• Suggest, collect and synthesize requirements and innovate to create next generation feature sets.
• Enable natural and contextual interactions in apps integrating cognitive and analytics services
• Adapt standard ML methods to best exploit modern parallel environments.
• Implement algorithms that power user and developer-facing products reaching out to millions of users. Measure and optimize the quality of your algorithms.
• Work in product teams shipping large scale end to end applications/solutions.

Qualifications

• B.Tech / M.Tech/ MS degree in Computer Science or related quantitative field with min. 7/10 CGPA. Batch of 2024. (No backlogs)
• Kaggle score is a plus.
• Experience with R / Matlab / Scipy / Pandas / Weka, and scripting languages such as Perl, Python.
• Experience with Hadoop / Hbase / Pig or Mapreduce / Bigtable / AzureML a plus
• Knowledge of C++, C#, and .NET is a plus.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Benefits and Perks

  • Industry leading healthcare
  • Giving programs
  • Opportunities to network and connect
  • Discounts on products and services

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